SER_AMPEL: A multi-source dataset for SER of Italian older adults

Author:

Alessandra Grossi, Francesca Gasparini

Keyword:

Electrical Engineering and Systems Science, Audio and Speech Processing, Audio and Speech Processing (eess.AS), Computation and Language (cs.CL), Sound (cs.SD)

journal:

date:

2023-11-24 00:00:00

Abstract

In this paper, SER_AMPEL, a multi-source dataset for speech emotion recognition (SER) is presented. The peculiarity of the dataset is that it is collected with the aim of providing a reference for speech emotion recognition in case of Italian older adults. The dataset is collected following different protocols, in particular considering acted conversations, extracted from movies and TV series, and recording natural conversations where the emotions are elicited by proper questions. The evidence of the need for such a dataset emerges from the analysis of the state of the art. Preliminary considerations on the critical issues of SER are reported analyzing the classification results on a subset of the proposed dataset.

PDF: SER_AMPEL: A multi-source dataset for SER of Italian older adults.pdf